الصفحة الرئيسية الإمارات العربية المتحدة Software Engineer Jobs In Sharjah | Canonical
الصفحة الرئيسية الإمارات العربية المتحدة Software Engineer Jobs In Sharjah | Canonical
Software Engineer Jobs In Sharjah | Canonical
في Canonical
في
UAE
نُشرت يوم January 9, 2024
تفاصيل الوظيفة
Software Engineer Jobs In Sharjah | Canonical
About the job
This engineering role is an opportunity for a technologist with a passion for Linux to build a career with Canonical and drive the success of those leveraging Ubuntu and open source products. If you have an affinity for open source development, you will enjoy working with some of the best people in the industry at Canonical.Requirement
The third major area is related to internal business operations. We develop and operate a data warehouse, including data ingestion pipelines, that are relied on by operations and data analytics teams. In addition to that, we help internal business units to automate processes across many software solutions and integrate SaaS solutions to ensure a smooth flow of data. #J-18808-LjbffrApply safely
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'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Singapore', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'qatar' => array( 'name' => 'Qatar', 'country_id' => '178', 'country_code' => 'qa', 'slug' => 'qatar', 'global_location_id' => '176', 'rel_gloc_ids' => '176,252', 'currency' => 'QAR', 'currency_name' => 'Qatar Rial', 'languages' => 'en,ar', 'default_language' => 'en', 'country_time_zone' => 'Asia/Qatar', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'pakistan' => array( 'name' => 'Pakistan', 'country_id' => '169', 'country_code' => 'pk', 'slug' => 'pakistan', 'global_location_id' => '164', 'rel_gloc_ids' => '164,979,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061,1062,1063,1064,1065,1066,1067,1068,1069,1070,1071', 'currency' => 'PKR', 'currency_name' => 'Pakistani rupee', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Karachi', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 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'America/Sao_Paulo', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'portugal' => array( 'name' => 'Portugal', 'country_id' => '175', 'country_code' => 'pt', 'slug' => 'portugal', 'global_location_id' => '174', 'rel_gloc_ids' => '174,1014,1015,1087,1088,1089,1090', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'pt', 'default_language' => 'pt', 'country_time_zone' => 'Europe/Lisbon', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'canada' => array( 'name' => 'Canada', 'country_id' => '36', 'country_code' => 'ca', 'slug' => 'canada', 'global_location_id' => '38', 'rel_gloc_ids' => '38,1019,1020,1021,1022,1023,1024,1025', 'currency' => 'CAD', 'currency_name' => 'Canadian Dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Canada/Saskatchewan', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'united-states' => array( 'name' => 'United States', 'country_id' => '221', 'country_code' => 'us', 'slug' => 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'en', 'default_language' => 'en', 'country_time_zone' => 'Australia/Melbourne', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'kenya' => array( 'name' => 'Kenya', 'country_id' => '108', 'country_code' => 'ke', 'slug' => 'kenya', 'global_location_id' => '112', 'rel_gloc_ids' => '112,1031,1032,1075,1076,1077,1078,1079', 'currency' => 'KES', 'currency_name' => 'Kenyan Shilling', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Africa/Nairobi', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'ghana' => array( 'name' => 'Ghana', 'country_id' => '78', 'country_code' => 'gh', 'slug' => 'ghana', 'global_location_id' => '83', 'rel_gloc_ids' => '83,1033,1034,1072,1073,1074', 'currency' => 'GHS', 'currency_name' => 'Ghanaian Cedi', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Africa/Accra', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'ireland' => array( 'name' => 'Ireland', 'country_id' => '98', 'country_code' => 'ie', 'slug' => 'ireland', 'global_location_id' => '104', 'rel_gloc_ids' => '104,104,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Dublin', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'vietnam' => array( 'name' => 'Vietnam', 'country_id' => '229', 'country_code' => 'vn', 'slug' => 'vietnam', 'global_location_id' => '234', 'rel_gloc_ids' => '234,1170,1171', 'currency' => 'VND', 'currency_name' => 'Vietnamese Dong', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Ho_Chi_Minh', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'cyprus' => array( 'name' => 'Cyprus', 'country_id' => '51', 'country_code' => 'cy', 'slug' => 'cyprus', 'global_location_id' => '55', 'rel_gloc_ids' => '55,1230,1231,1232,1233', 'currency' => 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'https://jobs.laimoon.com/ar/', 'themeUrl' => 'https://jobs.laimoon.com/', 'siteUrl' => 'https://jobs.laimoon.com/', 'staticUrl' => 'https://cdn.laimoon.com/jobs/', 'langCode' => 'ar', 'pageScripts' => array( (int) 0 => 'page_script' ), 'pageName' => 'externalview', 'courseUrl' => 'https://courses.laimoon.com/ar/', 'onlineCourses' => array( (int) 0 => array( 'Course' => array( [maximum depth reached] ), 'CourseProvider' => array( [maximum depth reached] ), 'CourseTranslation' => array( [maximum depth reached] ), 'Profile' => array([maximum depth reached]) ), (int) 1 => array( 'Course' => array( [maximum depth reached] ), 'CourseProvider' => array( [maximum depth reached] ), 'CourseTranslation' => array( [maximum depth reached] ), 'Profile' => array([maximum depth reached]) ) ), 'job' => array( 'Job' => array( 'id' => '39309450', 'contact_id' => '3773199', 'recruiter_id' => '74726', 'job_function_id' => null, 'title' => 'Software Engineer Jobs In Sharjah | Canonical', 'vacancies' => 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Flex 2 is a much loved software development kit, which is used to develop and deploy cross-platform rich Internet applications based on the Adobe Flash platform. This fantastic Flex 2 course covers a whole host of useful topics, such as how to work with embedded images and fonts, implement transitions and easing effects, apply filters and blends, and programmatically interact with mouse position and actions like dragging and dropping. Not only that, learners of this Flex 2 course will learn how to extend and skin Flex UI components using both images and shapes drawn with the ActionScript Drawing API.<br /> <br /> This <strong>Flex 2: Advanced Visual Programming </strong>course will be the ideal solution and the easiest course you will experience. We will offer you the opportunity to study 24/7 wherever you are in the world. 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It’s an interdisciplinary field that uses scientific methods, processes, algorithms and systems to convert insights from unstructured data to structured knowledge, that can help them make decisions and take action across a broad range of application domains.<br> <br> Data science can be defined as a blend of mathematics; business acumen, tools, algorithms and machine learning techniques. All of these help us give meaning to raw data which can be of major use in the formation of big business decisions.<br> <br> This course will facilitate your growth of data skills and enhance your career. In this non-technical course, you’ll be introduced to everything you need to know about this fast-growing and exciting field. Learn real-world applications and gain understanding through quick non-coding exercises.<br> <br> <strong>Why You Should Consider Taking this Course at Study365?</strong><br> <br> The Data Science and Machine Learning with R Course is brought to you by Study365. We are a leading online education provider for several accredited organisations, and provide learners the opportunity to take this IAP course. At Study365, we give our fullest attention to the learners’ needs and ensure they have the necessary information required to proceed with the training.<br> <br> Our priority is on the advancement of knowledge and skills, we are bound to facilitate everything required to confirm a top-notch education service. We vouch for our learners an exclusive learning experience by paying close attention to each of their unique requirements and coming up with solutions every time. We provide them with state-of-the-art facilities using the latest technology.<br> <br> <strong>The benefits of studying with Study365 are ample. Here are just a few,</strong> <ul> <li>Unlimited 12 months access from anywhere, anytime</li> <li>Save time and money on travel</li> <li>Learn at your own pace</li> <li>Versatile and motivated learning</li> <li>A culture of continuous improvement</li> </ul> <strong>Description<br> <br> Learning Outcome</strong> <ul> <li>Understand data cleaning, processing and manipulation</li> <li>Learn Data and File Management in R</li> <li>Give a head start for individuals who want to start a career in the field</li> <li>Learn how to write complex R programmes for practical industry scenarios</li> </ul> <strong>Curriculum</strong><br> <br> <strong>[Module 01]</strong>Introduction to Data Science +ML with R from A-Z <ul> <li>Intro to DS+ML Section Overview</li> <li>What is Data Science?</li> <li>Machine Learning Overview</li> <li>Who is this course for?</li> <li>Data Science + Machine Learning Marketplace</li> <li>DS + ML Job Opportunities</li> <li>Data Science Job Roles</li> </ul> <strong>[Module 02]</strong>Getting Started with R <ul> <li>Getting Started</li> <li>Basics</li> <li>Files</li> <li>R Studio</li> <li>Tidyverse</li> <li>Resources</li> </ul> <strong>[Module 03]</strong>Data Types and Structures in R <ul> <li>Section Introduction</li> <li>Basic Types</li> <li>Vectors Part One</li> <li>Vectors Part Two</li> <li>Vectors: Missing Values</li> <li>Vectors: Coercion</li> <li>Vectors: Naming</li> <li>Vectors: Misc</li> <li>Matrices</li> <li>Lists</li> <li>Introduction to Data Frames</li> <li>Creating Data Frames</li> <li>Data Frames: Helper Functions</li> <li>Data Frames: Tibbles</li> </ul> <strong>[Module 04]</strong>Intermediate R <ul> <li>Section Introduction</li> <li>Relational Operators</li> <li>Logical Operators</li> <li>Conditional Statements</li> <li>Loops</li> <li>Functions</li> <li>Packages</li> <li>Factors</li> <li>Dates & Times</li> <li>Functional Programming</li> <li>Data Import/Export</li> <li>Databases</li> </ul> <strong>[Module 05]</strong>Data Manipulation in R <ul> <li>Section Introduction</li> <li>Tidy Data</li> <li>The Pipe Operator</li> <li>{dplyr}: The Filter Verb</li> <li>{dplyr}: The Select Verb</li> <li>{dplyr}: The Mutate Verb</li> <li>{dplyr}: The Arrange Verb</li> <li>{dplyr}: The Summarize Verb</li> <li>Data Pivoting: {tidyr}</li> <li>String Manipulation: {stringr}</li> <li>Web Scraping: {rvest}</li> <li>JSON Parsing: {jsonlite}</li> </ul> <strong>[Module 06]</strong>Data Visualization in R <ul> <li>Section Introduction</li> <li>Getting Started</li> <li>Aesthetics Mappings</li> <li>Single Variable Plots</li> <li>Two-Variable Plots</li> <li>Facets, Layering, and Coordinate Systems</li> <li>Styling and Saving</li> </ul> <strong>[Module 07]</strong>Creating Reports with R Markdown <ul> <li>Intro To R Markdown</li> </ul> <strong>[Module 08]</strong>Building Webapps with R Shiny <ul> <li>Intro to R Shiny</li> <li>A Basic Webapp</li> <li>Other Examples</li> </ul> <strong>[Module 09]</strong>Introduction to Machine Learning <ul> <li>Intro to ML Part 1</li> <li>Intro to ML Part 2</li> </ul> <strong>[Module 10]</strong>Data Preprocessing <ul> <li>Section Overview</li> <li>Data Preprocessing</li> </ul> <strong>[Module 11]</strong>Linear Regression: A Simple Model <ul> <li>Section Introduction</li> <li>A Simple Model</li> </ul> <strong>[Module 12]</strong>Exploratory Data Analysis <ul> <li>Section Introduction</li> <li>Hands-on Exploratory Data Analysis</li> </ul> <strong>[Module 13]</strong>Linear Regression: A Real Model <ul> <li>Section Introduction</li> <li>Linear Regression in R</li> </ul> <strong>[Module 14]</strong>Logistic Regression <ul> <li>Logistic Regression Intro</li> <li>Logistic Regression in R</li> </ul> <strong>[Module 15]</strong>Starting a Career in Data Science <ul> <li>Section Overview</li> <li>Creating A Data Science Resume</li> <li>Getting Started with Freelancing</li> <li>Top Freelance Websites</li> <li>Personal Branding</li> <li>Networking</li> <li>Setting Up a Website</li> </ul> <strong>Method of assessment</strong><br> This is a knowledge-based course, and thus, will contain no method of assessment.<br> <br> <strong>Certification</strong><br> Once the course is completed, the learners get awarded with a certificate of completion for ‘Data Science and Machine Learning with R - Level 3' by iAP.<br> <br> <strong>Awarding Body</strong><br> The International Awards for Professionals (iAP) is an awarding body established in 1999 that aims to promote a high educational standard. 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It’s an interdisciplinary field that uses scientific methods, processes, algorithms and systems to convert insights from unstructured data to structured knowledge, that can help them make decisions and take action across a broad range of application domains.<br> <br> Data science can be defined as a blend of mathematics; business acumen, tools, algorithms and machine learning techniques. All of these help us give meaning to raw data which can be of major use in the formation of big business decisions.<br> <br> This course will facilitate your growth of data skills and enhance your career. In this non-technical course, you’ll be introduced to everything you need to know about this fast-growing and exciting field. Learn real-world applications and gain understanding through quick non-coding exercises.<br> <br> <strong>Why You Should Consider Taking this Course at Study365?</strong><br> <br> The Data Science and Machine Learning with R Course is brought to you by Study365. We are a leading online education provider for several accredited organisations, and provide learners the opportunity to take this IAP course. At Study365, we give our fullest attention to the learners’ needs and ensure they have the necessary information required to proceed with the training.<br> <br> Our priority is on the advancement of knowledge and skills, we are bound to facilitate everything required to confirm a top-notch education service. We vouch for our learners an exclusive learning experience by paying close attention to each of their unique requirements and coming up with solutions every time. We provide them with state-of-the-art facilities using the latest technology.<br> <br> <strong>The benefits of studying with Study365 are ample. Here are just a few,</strong> <ul> <li>Unlimited 12 months access from anywhere, anytime</li> <li>Save time and money on travel</li> <li>Learn at your own pace</li> <li>Versatile and motivated learning</li> <li>A culture of continuous improvement</li> </ul> <strong>Description<br> <br> Learning Outcome</strong> <ul> <li>Understand data cleaning, processing and manipulation</li> <li>Learn Data and File Management in R</li> <li>Give a head start for individuals who want to start a career in the field</li> <li>Learn how to write complex R programmes for practical industry scenarios</li> </ul> <strong>Curriculum</strong><br> <br> <strong>[Module 01]</strong>Introduction to Data Science +ML with R from A-Z <ul> <li>Intro to DS+ML Section Overview</li> <li>What is Data Science?</li> <li>Machine Learning Overview</li> <li>Who is this course for?</li> <li>Data Science + Machine Learning Marketplace</li> <li>DS + ML Job Opportunities</li> <li>Data Science Job Roles</li> </ul> <strong>[Module 02]</strong>Getting Started with R <ul> <li>Getting Started</li> <li>Basics</li> <li>Files</li> <li>R Studio</li> <li>Tidyverse</li> <li>Resources</li> </ul> <strong>[Module 03]</strong>Data Types and Structures in R <ul> <li>Section Introduction</li> <li>Basic Types</li> <li>Vectors Part One</li> <li>Vectors Part Two</li> <li>Vectors: Missing Values</li> <li>Vectors: Coercion</li> <li>Vectors: Naming</li> <li>Vectors: Misc</li> <li>Matrices</li> <li>Lists</li> <li>Introduction to Data Frames</li> <li>Creating Data Frames</li> <li>Data Frames: Helper Functions</li> <li>Data Frames: Tibbles</li> </ul> <strong>[Module 04]</strong>Intermediate R <ul> <li>Section Introduction</li> <li>Relational Operators</li> <li>Logical Operators</li> <li>Conditional Statements</li> <li>Loops</li> <li>Functions</li> <li>Packages</li> <li>Factors</li> <li>Dates & Times</li> <li>Functional Programming</li> <li>Data Import/Export</li> <li>Databases</li> </ul> <strong>[Module 05]</strong>Data Manipulation in R <ul> <li>Section Introduction</li> <li>Tidy Data</li> <li>The Pipe Operator</li> <li>{dplyr}: The Filter Verb</li> <li>{dplyr}: The Select Verb</li> <li>{dplyr}: The Mutate Verb</li> <li>{dplyr}: The Arrange Verb</li> <li>{dplyr}: The Summarize Verb</li> <li>Data Pivoting: {tidyr}</li> <li>String Manipulation: {stringr}</li> <li>Web Scraping: {rvest}</li> <li>JSON Parsing: {jsonlite}</li> </ul> <strong>[Module 06]</strong>Data Visualization in R <ul> <li>Section Introduction</li> <li>Getting Started</li> <li>Aesthetics Mappings</li> <li>Single Variable Plots</li> <li>Two-Variable Plots</li> <li>Facets, Layering, and Coordinate Systems</li> <li>Styling and Saving</li> </ul> <strong>[Module 07]</strong>Creating Reports with R Markdown <ul> <li>Intro To R Markdown</li> </ul> <strong>[Module 08]</strong>Building Webapps with R Shiny <ul> <li>Intro to R Shiny</li> <li>A Basic Webapp</li> <li>Other Examples</li> </ul> <strong>[Module 09]</strong>Introduction to Machine Learning <ul> <li>Intro to ML Part 1</li> <li>Intro to ML Part 2</li> </ul> <strong>[Module 10]</strong>Data Preprocessing <ul> <li>Section Overview</li> <li>Data Preprocessing</li> </ul> <strong>[Module 11]</strong>Linear Regression: A Simple Model <ul> <li>Section Introduction</li> <li>A Simple Model</li> </ul> <strong>[Module 12]</strong>Exploratory Data Analysis <ul> <li>Section Introduction</li> <li>Hands-on Exploratory Data Analysis</li> </ul> <strong>[Module 13]</strong>Linear Regression: A Real Model <ul> <li>Section Introduction</li> <li>Linear Regression in R</li> </ul> <strong>[Module 14]</strong>Logistic Regression <ul> <li>Logistic Regression Intro</li> <li>Logistic Regression in R</li> </ul> <strong>[Module 15]</strong>Starting a Career in Data Science <ul> <li>Section Overview</li> <li>Creating A Data Science Resume</li> <li>Getting Started with Freelancing</li> <li>Top Freelance Websites</li> <li>Personal Branding</li> <li>Networking</li> <li>Setting Up a Website</li> </ul> <strong>Method of assessment</strong><br> This is a knowledge-based course, and thus, will contain no method of assessment.<br> <br> <strong>Certification</strong><br> Once the course is completed, the learners get awarded with a certificate of completion for ‘Data Science and Machine Learning with R - Level 3' by iAP.<br> <br> <strong>Awarding Body</strong><br> The International Awards for Professionals (iAP) is an awarding body established in 1999 that aims to promote a high educational standard. 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